Evidence map›Paper›PMID 39360952›Full record

ArticleJournal of the American Chemical Society2024

Data Analysis of Dynamics in Protein Solutions Using Quasi-Elastic Neutron Scattering─Important Insights from Polarized Neutrons.

Mona Sarter, J Ross Stewart, Gøran Jan Nilsen, Mark Devonport, Kirill Nemkovski

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. A multiscaleJournal of applied crystallography · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mona SarterSTFC Rutherford Appleton Laboratory, ISIS Neutron and Muon Facility, Chilton, Didcot OX11 0QX, U.K.ORCID 0000-0003-1867-5543
J Ross StewartSTFC Rutherford Appleton Laboratory, ISIS Neutron and Muon Facility, Chilton, Didcot OX11 0QX, U.K.ORCID 0000-0003-0053-0178
Gøran Jan NilsenSTFC Rutherford Appleton Laboratory, ISIS Neutron and Muon Facility, Chilton, Didcot OX11 0QX, U.K.
Mark DevonportSTFC Rutherford Appleton Laboratory, ISIS Neutron and Muon Facility, Chilton, Didcot OX11 0QX, U.K.
Kirill NemkovskiSTFC Rutherford Appleton Laboratory, ISIS Neutron and Muon Facility, Chilton, Didcot OX11 0QX, U.K.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein dynamics play a vital role in biology. Quasi elastic neutron scattering (QENS) is an ideal method to access these dynamics. To isolate protein dynamics, it is important to separate the signal of the buffer and the protein. Normally data analysis is performed based on the assumption that the scattering spectrum is incoherent. To observe the full range of protein dynamics, it is necessary to perform the experiments in solution. This solution is usually a fully deuterated buffer, while the protein remains protonated. It is generally assumed that subtracting the buffer contribution removes all coherent signal from the measured spectrum, and the rest can be considered as purely incoherent. Up until recently, there was no way to experimentally verify this assumption. Polarized QENS experiments allow for the coherent and incoherent contributions to be separated. By comparing the results from the polarized QENS experiment and the standard analysis method from unpolarized QENS, we are thus able to check this assumption experimentally. We show that the pure incoherent spectrum obtained from polarization analysis does not match the results for unpolarized QENS. We discuss the implications of this for data analysis and possible solutions to the problem, as well as mitigation techniques for standard QENS.

Identifiers

PMID39360952
PMCPMC11488478

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.